One-stage estimation of the effects of operational conditions and practices on productive performance: asymptotically normal and efficient,root-<Emphasis Type="Italic">n</Emphasis> consistent StoNEZD method

Understanding the effects of operational conditions and practices on productive efficiency can provide valuable economic and managerial insights. The conventional approach is to use a two-stage method where the efficiency estimates are regressed on contextual variables representing the operational conditions. The main problem of the two-stage approach is that it ignores the correlations between inputs and contextual variables. To address this shortcoming, we build on the recently developed regression interpretation of data envelopment analysis (DEA) to develop a new one-stage semi-nonparametric estimator that combines the nonparametric DEA-style frontier with a regression model of the contextual variables. The new method is referred to as stochastic semi-nonparametric envelopment of z variables data (StoNEZD). The StoNEZD estimator for the contextual variables is shown to be statistically consistent under less restrictive assumptions than those required by the two-stage DEA estimator. Further, the StoNEZD estimator is shown to be unbiased, asymptotically efficient, asymptotically normally distributed, and converge at the standard parametric rate of order n ^−1/2. Therefore, the conventional methods of statistical testing and confidence intervals apply for asymptotic inference. Finite sample performance of the proposed estimators is examined through Monte Carlo simulations.     

Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task

We conducted laboratory experiments for analyzing the accuracy of three structured approaches (nominal groups, Delphi, and prediction markets) relative to traditional face-to-face meetings (FTF). We recruited 227 participants (11 groups per method) who were required to solve a quantitative judgment task that did not involve distributed knowledge. This task consisted of ten factual questions, which required percentage estimates. While we did not find statistically significant differences in accuracy between the four methods overall, the results differed somewhat at the individual question level. Delphi was as accurate as FTF for eight questions and outperformed FTF for two questions. By comparison, prediction markets did not outperform FTF for any of the questions and were inferior for three questions. The relative performances of nominal groups and FTF were mixed and the differences were small. We also compared the results from the three structured approaches to prior individual estimates and staticized groups. The three structured approaches were more accurate than participants’ prior individual estimates. Delphi was also more accurate than staticized groups. Nominal groups and prediction markets provided little additional value relative to a simple average of the forecasts. In addition, we examined participants’ perceptions of the group and the group process. The participants rated personal communications more favorably than computer-mediated interactions. The group interactions in FTF and nominal groups were perceived as being highly cooperative and effective. Prediction markets were rated least favourably: prediction market participants were least satisfied with the group process and perceived their method as the most difficult.     

Rates of Return to Schooling in China

This study uses data from a 1988 survey of Chinese individuals to estimate rates of return to schooling in China. The Mincer-type rate of return to schooling was estimated at 4.02 percent in the rural areas and 3.29 percent in the urban areas; these are fairly low estimates compared with similar estimates in other countries. The rate of return to schooling for females was significantly higher than that for males in urban areas. In addition, members of the Communist Party in urban areas had significantly lower returns to schooling compared with non-members.     

The Regressive Recovery: Distribution,Inequality and State Power in Britain's Post-Crisis Political Economy

This article interrogates the underlying mechanisms at the heart of Britain's post-crisis political economy. We argue that the contemporary economic recovery has been characterised by a dynamic of ‘regressive redistribution’: a socially regressive dynamic of state-led economic restructuring that has worked through two axes at the centre of the recovery. The first axis, a monetary policy framework centred upon Quantitative Easing, has driven asset-price inflation to the benefit of the wealthiest asset holders. The second axis centres upon the politics of regressive labour market restructuring which has provoked widespread wage deflation. In combination, these two axes have been central to defining the contours of the Britain's post-crisis political economy paradigm: characterised by rising asset wealth for the few, and falling living standards alongside increasing economic insecurity for wage earners. The opportunity to change path from the trends of deepening inequality that defined the pre-crisis era has not been taken. Instead, the prevailing policy paradigm of the post-crisis period – discursively unified and sustained by David Cameron's government – has intensified the regressively redistributive dynamics at the core of the neo-liberal project. Ultimately, this is likely to further entrench structural weaknesses in Britain's economy in the years ahead.     

Rent Management – The Heart of Green Industrial Policy

At the heart of green industrial policy is rent management: government creating and withdrawing opportunities for profitable investment. This paper asks what the key factors are for rent management to succeed. Drawing on a range of literatures, the paper first deals with the critical success factors for ‘normal’ rent management and then turns to one of the most pressing and controversial issues of our time: how to bring about the transition to green energy. This is extra challenging because technological uncertainties are high, time horizons for investment are long, yet action is required now.     

Introduction to the Policy Forum on Commonwealth–State Funding Arrangements

This article introduces the Policy Forum on funding arrangements between the Commonwealth and the States.